Changshuo Wang

543 total citations · 1 hit paper
21 papers, 368 citations indexed

About

Changshuo Wang is a scholar working on Mechanics of Materials, Civil and Structural Engineering and Management, Monitoring, Policy and Law. According to data from OpenAlex, Changshuo Wang has authored 21 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Mechanics of Materials, 13 papers in Civil and Structural Engineering and 8 papers in Management, Monitoring, Policy and Law. Recurrent topics in Changshuo Wang's work include Rock Mechanics and Modeling (15 papers), Landslides and related hazards (8 papers) and Tunneling and Rock Mechanics (5 papers). Changshuo Wang is often cited by papers focused on Rock Mechanics and Modeling (15 papers), Landslides and related hazards (8 papers) and Tunneling and Rock Mechanics (5 papers). Changshuo Wang collaborates with scholars based in China, Australia and United Kingdom. Changshuo Wang's co-authors include Rui Yong, Nick Barton, Liangqing Wang, Murat Karakus, Liangqing Wang, Jiaqing Zhou, Shigui Du, Yunfeng Ge, Sara Khoshnevisan and Pengju An and has published in prestigious journals such as Remote Sensing, International Journal of Rock Mechanics and Mining Sciences and Engineering Geology.

In The Last Decade

Changshuo Wang

19 papers receiving 361 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Advances in joint roughness coefficient (JRC) and its engineering applications

2023 83 citations Nick Barton, Changshuo Wang et al. Journal of Rock Mechanics and Geotechnical Engineering profile →

Peers

Changshuo Wang

MM

CSE

MMPL

OE

ME

Bernard Vayssade France

Biao Shu China

Flavio Lanaro Sweden

Lu Xia China

Denis Thibodeau Canada

Yaoliang Zhu China

J. Um United States

Aly Abdelaziz Canada

Changyu Jin China

José Muralha Portugal

Bernard Vayssade France

Changshuo Wang

227 ×0.9

MM

130 ×0.8

CSE

118 ×0.9

MMPL

76 ×0.8

OE

46 ×0.5

ME

Citations per year, relative to Changshuo Wang Changshuo Wang (= 1×) peers Bernard Vayssade

Countries citing papers authored by Changshuo Wang

Since Specialization

Citations

This map shows the geographic impact of Changshuo Wang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Changshuo Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Changshuo Wang more than expected).

Fields of papers citing papers by Changshuo Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Changshuo Wang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Changshuo Wang. The network helps show where Changshuo Wang may publish in the future.

Co-authorship network of co-authors of Changshuo Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Changshuo Wang. A scholar is included among the top collaborators of Changshuo Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Changshuo Wang. Changshuo Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

1.

Karakus, Murat, et al.. (2025). Ultimate Shear Performance of Fully Grouted Rock Bolts: Insights from Machine Learning. Rock Mechanics and Rock Engineering. 58(12). 14101–14128.

2.

Wang, Changshuo, et al.. (2025). Isomerism of using the classic discretization algorithm Z2 for characterizing joint profile morphology roughness and its improvement. International Journal of Rock Mechanics and Mining Sciences. 190. 106111–106111.

3.

An, Pengju, et al.. (2025). Potential of smartphone-based photogrammetry for measuring particle size and shape in field surveys. Bulletin of Engineering Geology and the Environment. 84(5). 2 indexed citations

4.

Wang, Changshuo, et al.. (2024). Determining the optimal sampling interval for 3D morphology measurements of different-sized natural rock joints. Measurement. 230. 114522–114522. 2 indexed citations

5.

Yong, Rui, Zhen Zhong, Yingchun Li, et al.. (2024). Experimental evidence for the critical wavelet transform level in multi-scale roughness decomposition of rock joints. International Journal of Rock Mechanics and Mining Sciences. 175. 105662–105662. 8 indexed citations

6.

Yong, Rui, Changshuo Wang, Nick Barton, & Shigui Du. (2024). A photogrammetric approach for quantifying the evolution of rock joint void geometry under varying contact states. International Journal of Mining Science and Technology. 34(4). 461–477. 10 indexed citations

7.

An, Pengju, Rui Yong, Shigui Du, et al.. (2023). Exploring the potential of smartphone photogrammetry for field measurement of joint roughness. Measurement. 225. 114055–114055. 14 indexed citations

8.

Wang, Changshuo, et al.. (2023). A Novel Method for Determining the Three-dimensional Roughness of Rock Joints Based on Profile Slices. Rock Mechanics and Rock Engineering. 56(6). 4303–4327. 30 indexed citations

9.

Barton, Nick, Changshuo Wang, & Rui Yong. (2023). Advances in joint roughness coefficient (JRC) and its engineering applications. Journal of Rock Mechanics and Geotechnical Engineering. 15(12). 3352–3379. 83 indexed citations breakdown →

10.

Yong, Rui, et al.. (2023). Determination of the minimum number of specimens required for laboratory testing of the shear strength of rock joints. Geomechanics and Geophysics for Geo-Energy and Geo-Resources. 9(1). 1 indexed citations

11.

Zheng, Wei, et al.. (2023). Experimental study on normal deformation characteristics of filled rock joints with typical fluctuation morphology. Frontiers in Earth Science. 10. 2 indexed citations

12.

Wang, Liangqing, et al.. (2023). Shear creep characteristics and creep constitutive model of bolted rock joints. Engineering Geology. 327. 107368–107368. 18 indexed citations

13.

Du, Shigui, et al.. (2023). Drone Photogrammetry for Accurate and Efficient Rock Joint Roughness Assessment on Steep and Inaccessible Slopes. Remote Sensing. 15(19). 4880–4880. 9 indexed citations

14.

Wang, Liangqing, et al.. (2023). Prediction of the inertial permeability of a 2D single rough fracture based on geometric information. Acta Geotechnica. 19(4). 2105–2124. 12 indexed citations

15.

Liu, Songlin, et al.. (2022). 3D morphology reconstruction of rock joints from 2D profile measurement by a profilograph. Measurement. 203. 112008–112008. 7 indexed citations

16.

Wang, Changshuo, et al.. (2022). Representative sampling method for laboratory testing on shear strength of rock joints. Frontiers in Earth Science. 10. 2 indexed citations

17.

Wang, Changshuo, Liangqing Wang, Shigui Du, Jun Ye, & Rui Yong. (2021). Investigation on the Indeterminate Information of Rock Joint Roughness through a Neutrosophic Number Approach. Computer Modeling in Engineering & Sciences. 129(2). 973–991. 3 indexed citations

18.

Wang, Liangqing, et al.. (2020). Improved robust design of rock wedge slopes with a new robustness measure. Computers and Geotechnics. 123. 103548–103548. 8 indexed citations

19.

Wang, Changshuo, Liangqing Wang, & Murat Karakus. (2018). A new spectral analysis method for determining the joint roughness coefficient of rock joints. International Journal of Rock Mechanics and Mining Sciences. 113. 72–82. 53 indexed citations

20.

Wang, Liangqing, et al.. (2017). Determination of two-dimensional joint roughness coefficient using support vector regression and factor analysis. Engineering Geology. 231. 238–251. 40 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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